• Design and ship productionized ML pipelines, from raw data and ETL through model inference and orchestration • Build and deploy ML-powered APIs and services that support real user-facing features • Own the full lifecycle of ML systems: experimentation, deployment, monitoring, and iteration • Develop ML systems for personalization, search, and recommendations • Work with embedding-based systems and vector representations (text, images, or multimodal data) • Measure results rigorously and iterate based on real-world performance • Create and maintain data pipelines and internal tooling • Deploy and operate ML systems in production (AWS, containerization, EC2, service orchestration) • Ensure systems are scalable, reliable, and observable • Monitor model and system performance and improve robustness over time • Maintain a high standard for code quality, testing, and system design • Collaborate closely with leadership and peers to shape technical direction • Move quickly while balancing correctness, reliability, and long-term maintainability

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and , our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the Role As a Senior Machine Learning Engineer , you will play a critical role in shaping, building, and scaling SailPoint’s AI-powered capabilities. You’ll work at the intersection of AI innovation, software engineering, and platform architecture—designing robust, production-grade systems that deliver customer insights and intelligent automation across our identity platform. You will lead complex, end -to- end initiatives—from model design and experimentation to deployment, monitoring, and continuous improvement—while advancing the evolution of SailPoint’s AI platform, data pipelines, and model governance standards. About the team: The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity security. We believe the path to success is through meaningful customer outcomes, and we leverage classical as well as recent innovations in Generative AI and Graph to bring our solutions to SailPoint’s core product lines. Responsibilities Design , implement, and optimize models (supervised, unsupervised, and LLM-based) that power both customer-facing and internal product capabilities. Translate AI research and experimental prototypes into scalable, maintainable production systems. Drive technical execution to improve model accuracy, precision/recall balance, and generalization across customer datasets and regions. Contribute to defining technical best practices for engineering across the AI team and participate in architecture and design discussions. Partner with product and engineering teams to scope, prioritize, and deliver impactful AI features aligned with SailPoint’s business goals. Work cross-functionally with architecture , platform, and analytics teams to integrate systems seamlessly into SailPoint’s ecosystem. Champion responsible AI principles and support ongoing improvements in model governance, explainability, and fairness. Communicate technical insights clearly, enabling shared understanding across technical and non-technical stakeholders. Requirements: Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.  NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

• Mettre en œuvre les dernières avancées en matière de recherche pour les modèles de rendu neuronal et génératifs • Convertir les solutions à la fine pointe de la technologie dans le domaine de la conduite autonome pour les simulations des capteurs des caméras, lidars et radars • Contribuer à la mise en œuvre d’un cadre de rendu neuronal qui permet la mise à l’échelle de la simulation de perception et de l’entraînement AV 3.0. • Intégrer le cadre dans un environnement en nuage et automatiser le pipeline pour permettre la mise à l’échelle de la vérification et de la validation ciblées de nos camions autonomes • Prendre la responsabilité des projets de développement dans l’équipe, de la recherche à la conception, en passant par la mise en œuvre, les tests et le déploiement • Concevoir, mettre en œuvre, tester et déployer un logiciel livrable, prêt pour la phase de production, à partir de prototypes précoces avec des processus disciplinés en développement de logiciel. • Travailler dans l’écosystème d’apprentissage automatique en nuage avec d’autres départements connexes existants au sein de l’entreprise. • Évaluer de manière proactive les capacités actuelles pour identifier les domaines à améliorer, en proposant des solutions alignées sur la stratégie et les opérations fondamentales. • Démontrer des compétences en gestion de projet, servir de leader pour les membres de l’équipe moins expérimentés dans plusieurs facettes de l’exécution de projet, faire du coaching et du mentorat au besoin.

• Implement the latest research advances in Neural Rendering and generative models • Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations • Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training • Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks • Own development projects in the team – From research, design, to implementation, testing and deployment • Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes. • Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company. • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. • Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.